Abstract: The capacity of integrated energy systems（IES） designed based on traditional maximum load design principles is far larger than the actual energy demand, resulting in the design capacity of household IES lack of targeting and applicability. Field investigations and numerical simulations are used to refine the energy demand of rural buildings. Determining 4 different temporal and spatial energy use strategies based on the usage behavior of rural residents. A rural IES design optimization model that includes the economic and net zero carbon constraints is constructed and solved by the Top-NSGA-Ⅱ algorithm. The optimal results for different strategies are obtained.Compared with the design based on full-time and full-space energy demand, the results show that design based on the temporal and spatial energy demand reduces annual total costs by 13.58 %, external electricity ratio by 7.98 percentage points, and achieves net zero carbon emissions.